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http://hdl.handle.net/10609/151451
Title: | A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions |
Author: | Benito Altamirano, Ismael Martínez-Carpena, David Casals, Olga Fàbrega, Cristian Waag, Andreas Prades, J. Daniel |
Citation: | Benito-Altamirano, I., Martínez-Carpena, D., Casals, O., Fàbrega, C., Waag, A., & Prades, J. D. (2023). A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions. Data in Brief, 46, 108780. |
Abstract: | Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them. |
Keywords: | barcodes QR codes color correction color calibration colorchecker colorimetry |
DOI: | http://doi.org/10.1016/j.dib.2022.108780 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 1-Dec-2022 |
Publication license: | https://creativecommons.org/licenses/by/4.0/ |
Linked data: | http://doi.org/10.17632/35kj4v96cm.2 |
Appears in Collections: | Articles cientÍfics Articles |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S2352340922009830-main.pdf | 1,4 MB | Adobe PDF | View/Open |
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